Fast Low Rank Column-Wise Compressive Sensing for Accelerated Dynamic MRI

This work develops a novel set of algorithms, alternating Gradient Descent (GD) and minimization for MRI (altGDmin-MRI1 and altGDmin-MRI2), for accelerated dynamic MRI by assuming an approximate low-rank (LR) model on the matrix formed by the vectorized images of the sequence. The LR model itself is...

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Vydané v:	IEEE transactions on computational imaging Ročník 9; s. 409 - 424
Hlavní autori:	Babu, Silpa, Lingala, Sajan Goud, Vaswani, Namrata
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation algorithms Compressed sensing Computational modeling Heuristic algorithms Image reconstruction low-rank Magnetic resonance imaging Minimization MRI Sampling
ISSN:	2573-0436, 2333-9403
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